We are thrilled to announce that our comparative network analysis in glioblastoma has been accepted for publication in Cancer Research and is now available in OnlineFirst version.
For this work, Tatiana, Tess, and Daniel teamed up with Camila Lopes-Ramos and Marouen Ben Guebila from the Quackenbush group at Harvard School of Public Health. Through comparative network analysis of genome-wide gene regulatory networks that we modeled the group's computational tools, we evaluated the association of gene regulation with patient survival in multiple primary glioblastoma datasets. We found that PD1 signaling is repressed in patients with relatively long-term survival and that this repression is lost in short-term survivors. This was independent of mutational burden and only weakly associated with immune cell infiltration.
Collectively, these results provide a new way to stratify glioblastoma patients that uses network features as biomarkers to predict survival. They also identify new potential therapeutic interventions, underscoring the value of analyzing gene regulatory networks in individual cancer patients.
More information on the publication can be found here.